Skip to main content

Sentry Acquires Codecov

Sentry announced it has acquired Codecov.

The acquisition expands Sentry’s product offering for development teams to improve code quality and velocity even earlier in the development life cycle, helping to accelerate remediation and enabling the delivery of better end-user experiences.

“Our mission has always been to empower developers to ship high quality code, faster than anyone else through context and insights, versus dashboards and tools that frankly weren’t built for resolution,” said Milin Desai, CEO of Sentry. “The Codecov team shares this singular focus – and enables us to offer developers even more comprehensive insight into their application’s code quality earlier in the development cycle.”

Codecov helps thousands of development teams confidently ship stable code. Similar to Sentry, Codecov works within developers’ existing workflows for software development, providing feedback, insight, and ownership over the quality of code regardless of platform, language, or CI/CD tooling. With the acquisition, Sentry customers will benefit from insights and protection over their code quality both pre- and post-deployment.

“From day one, our primary focus has been on using tools like code coverage to help developers ship quickly and reliably,” said Jerrod Engelberg, CEO of Codecov. “There’s an obvious alignment between Sentry and Codecov in how we empower developers to feel confident in making and shipping changes. We are climbing the same summit of software reliability from opposite sides, and with this, our customers new and old will experience faster development cycles, quicker discovery and remediation of bugs, and an overall better developer experience. ”

Codecov providing intelligent code coverage furthers Sentry’s commitment to addressing the evolving needs of software developers who are using tooling that is not purpose-built for their workflows or their most pressing problems. The addition of Codecov, along with Sentry’s other recent investments will serve to evolve application monitoring for software developers everywhere.

Codecov’s talented and experienced team, including co-founders Jerrod Engelberg and Eli Hooten, will join the Sentry team.

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

Sentry Acquires Codecov

Sentry announced it has acquired Codecov.

The acquisition expands Sentry’s product offering for development teams to improve code quality and velocity even earlier in the development life cycle, helping to accelerate remediation and enabling the delivery of better end-user experiences.

“Our mission has always been to empower developers to ship high quality code, faster than anyone else through context and insights, versus dashboards and tools that frankly weren’t built for resolution,” said Milin Desai, CEO of Sentry. “The Codecov team shares this singular focus – and enables us to offer developers even more comprehensive insight into their application’s code quality earlier in the development cycle.”

Codecov helps thousands of development teams confidently ship stable code. Similar to Sentry, Codecov works within developers’ existing workflows for software development, providing feedback, insight, and ownership over the quality of code regardless of platform, language, or CI/CD tooling. With the acquisition, Sentry customers will benefit from insights and protection over their code quality both pre- and post-deployment.

“From day one, our primary focus has been on using tools like code coverage to help developers ship quickly and reliably,” said Jerrod Engelberg, CEO of Codecov. “There’s an obvious alignment between Sentry and Codecov in how we empower developers to feel confident in making and shipping changes. We are climbing the same summit of software reliability from opposite sides, and with this, our customers new and old will experience faster development cycles, quicker discovery and remediation of bugs, and an overall better developer experience. ”

Codecov providing intelligent code coverage furthers Sentry’s commitment to addressing the evolving needs of software developers who are using tooling that is not purpose-built for their workflows or their most pressing problems. The addition of Codecov, along with Sentry’s other recent investments will serve to evolve application monitoring for software developers everywhere.

Codecov’s talented and experienced team, including co-founders Jerrod Engelberg and Eli Hooten, will join the Sentry team.

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...